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Update behavioral-blocking-containment.md
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@ -70,7 +70,7 @@ Behavior-based machine learning models in Microsoft Defender ATP caught and stop
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- The first protection layer detected exploit behavior. Machine learning classifiers in the cloud correctly identified the threat as and immediately instructed the client device to block the attack.
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- The first protection layer detected exploit behavior. Machine learning classifiers in the cloud correctly identified the threat as and immediately instructed the client device to block the attack.
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- The second protection layer, which helped stop cases where the attack got past the first layer, detected process hollowing, stopped that process, and removed the corresponding files (such as Lokibot).
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- The second protection layer, which helped stop cases where the attack got past the first layer, detected process hollowing, stopped that process, and removed the corresponding files (such as Lokibot).
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While the attack was detected and stopped, alerts, such as an initial access alert, were triggered and appeared in the Microsoft Defender Security Center:
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While the attack was detected and stopped, alerts, such as an initial access alert, were triggered and appeared in the Microsoft Defender Security Center ([https://securitycenter.windows.com](https://securitycenter.windows.com)):
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:::image type="content" source="images/behavblockcontain-initialaccessalert.png" alt-text="Initial access alert in the Microsoft Defender Security Center":::
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:::image type="content" source="images/behavblockcontain-initialaccessalert.png" alt-text="Initial access alert in the Microsoft Defender Security Center":::
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